Jobs / United States / Pfizer INC
Data, Integration & Systems (DIS) Team Lead
Pfizer INC · 🇺🇸 United States - Michigan - Kalamazoo
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 40 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Pfizer INC paid sponsored hires in similar roles2 certified filings for “SR. MANAGER SOLUTION DELIVERY” (Computer and Information Systems Managers) in TX: $121k–$121k, median $121k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Pfizer INC
The US Department of Labor certified 40 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Pfizer INC →
About the role
Use Your Power for Purpose The Digital and Automation Data, Integration & Systems (DIS) Team Lead is a key member of the Site Digital and Automation Leadership Team, responsible for leading this function. Reporting to the Site Digital and Automation Lead, the role works in close partnership with the Shop Floor Insights Lead to ensure the reliable, compliant, and efficient use of data across site Digital and Automation environments. The role establishes trusted, “AI-ready” data foundations to enable the delivery of innovative AI and analytics solutions for the site. The role leads execution of site-level data strategy, data standards, and system integrations in alignment with network and global standards. They ensure manufacturing data is accurately captured, contextualised against the enterprise data model, governed to GxP standards, and made available for site and enterprise use. This role leads day-to-day execution, lifecycle, and project activities related to data systems, historians, core system integrations, and local applications. The role owns the site data enablement roadmap and is accountable for advancing site data maturity. This role enables consistent data flows across core platforms while maintaining compliance, validation, and inspection readiness. The incumbent drives stakeholder engagement and cross-functional alignment across site and PNA network as well as collaborating with wider business stakeholders across Global Digital and Engineering functions. What You Will Achieve Data Strategy, Standards & Governance • Lead the development, documentation, and execution of the site end-to-end data strategy in alignment with network direction. • Drive and reinforce data standards to ensure consistency, integrity, and compliance in how data is structured, stored, and used. • Ensure data-related work is executed in line with applicable quality, validation, cybersecurity, and regulatory requirements, following established SOPs and governance processes. • Represent site in cross-site standards harmonization reviews, bringing site operational knowledge to inform enterprise model evolution. System Integration & Data Flow Enablement • Oversee and support core system integrations, ensuring seamless, secure, and compliant data flow, connectivity and design across system layers. • Formulate and manage site data enablement roadmap. Develop and execute plans to advance site data maturity, including planning for funding, resources and above site support where required; and mapping to business value enabled for the site. • Identify and pursue solutions to data connectivity, identifying integration issues, data quality gaps, or performance risks and escalating as required. • Validate that asset hierarchy, equipment context, process parameters, and batch/lot identifiers are accurately represented in the contextualization layer. • Lead implementation, configuration, and lifecycle management of site historians and data platforms to enable operational reporting, analytics, and continuous improvement. • Drive local application development/ rationalization or configuration, including upgrades, enhancements, retirement and connectivity to data sources. • Maintain accurate asset, configuration, and data mapping documentation to support lifecycle management, validation, and inspection readiness. • Lead incident, deviation, and recovery activities to ensure timely restoration of services while maintaining data integrity and validated state control. AI, Analytics & Innovation Enablement • Partner with site operational, process teams and digital innovation teams to identify and prioritize data-driven use cases, translating business problems into data requirements. • Enable use of data for analytics, AI, a